Concepedia

Mini-batch Training

Mini-Batch Training is a gradient-based optimization method in machine learning wherein model parameters are updated iteratively using small, randomly sampled subsets of the training data, distinguished from batch and stochastic variants by its use of moderate-sized data batches to balance computational efficiency and convergence stability.

493

Publications

95.4K

Citations

1.6K

Authors

468

Institutions

Publications per year

2017–2026

375

Parents

Publications

493

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Sergey Ioffe, Christian Szegedy · arXiv (Cornell University) · 2015 · 24.4K citations · Full text

, , +15

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Sergey Ioffe · arXiv (Cornell University) · 2024 · 15.7K citations · Full text

, , +15

YOLOv4: Optimal Speed and Accuracy of Object Detection

Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao · arXiv (Cornell University) · 2020 · 10.4K citations · Full text

, , +16

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Priya Goyal, Piotr Dollár, Ross Girshick et al. · arXiv (Cornell University) · 2017 · 2.6K citations · Full text

, , +17

Deep Interest Network for Click-Through Rate Prediction

Guorui Zhou, Xiaoqiang Zhu, Chenru Song et al. · 2018 · 2K citations

, , +14

1–5 of 493

Authors

1.6K

  1. PR
    Peter Richtárik

    University of Edinburgh, United Kingdom

    8 publications · 369 citations

    8

    h-index

  2. MS
    Masashi Sugiyama

    Tokyo Institute of Technology, Japan

    7 publications · 200 citations

    7

    h-index

  3. MT
    Martin Takáč

    Lehigh University, United States

    6 publications · 488 citations

    6

    h-index

  4. DZ
    Da Zheng

    Amazon (United States), United States

    5 publications · 352 citations

    5

    h-index

  5. RU
    Raquel Urtasun

    University of Toronto, Canada

    5 publications · 1.1K citations

    5

    h-index

1–5 of 1.6K

Institutions

468

  1. Google (United States)

    Mountain View, United States

    16 h-index

    39 publications

    69.1K citations

  2. University of Edinburgh

    Edinburgh, United Kingdom

    9 h-index

    13 publications

    678 citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    9 h-index

    18 publications

    3.3K citations

  4. University of Toronto

    Toronto, Canada

    9 h-index

    22 publications

    2.2K citations

  5. Peking University

    Beijing, China

    9 h-index

    16 publications

    2.8K citations

  6. University of California, Berkeley

    Berkeley, United States

    8 h-index

    16 publications

    2K citations

  7. Sun Yat-sen University

    Guangzhou, China

    7 h-index

    16 publications

    611 citations

  8. The University of Tokyo

    Tokyo, Japan

    6 h-index

    15 publications

    418 citations

1–8 of 468

Venues

  1. arXiv (Cornell University)

    Repository · 149 publications · 65.8K citations

    52

    h-index

  2. Neurocomputing

    10 publications · 289 citations

    10

    h-index

  3. Neural Information Processing Systems

    Conference · 9 publications · 1.2K citations

    9

    h-index

  4. 7

    h-index

  5. International Conference on Machine Learning

    Conference · 6 publications · 583 citations

    6

    h-index

1–5